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Tech Stack
Tools & technologiesCloudETLPythonSQL
About the role
Key responsibilities & impact- Lead the evolution of intelligent platforms across our enterprise customer division.
- Champion strategic initiatives leveraging data, analytics, and artificial intelligence to enhance customer experiences.
- Shape data architecture, artificial intelligence strategy, and governance models for automation, MLOps, and insights.
- Collaborate with business and technology partners for modern, secure, and adaptive data ecosystems and AI solutions.
- Contribute to establishing a future-ready data foundation.
Requirements
What you’ll need- 7+ years of experience in leading data architecture initiatives, including cloud-native data platforms, machine learning lifecycle management, and enterprise data integration.
- Expertise in distributed data systems, data warehouse, Lake House architecture, and model operationalization frameworks such as MLflow, SageMaker, or similar.
- Proficiency in Python, SQL, Snowflake, and cloud, with experience deploying ML models using containers, APIs, or serverless frameworks.
- Proficiency in logical and physical data modeling, multidimensional modeling, normalization and denormalization techniques.
- Experience in building data systems in microservice environments that provide access to data for operational and BI needs.
- Proficiency in design and development of ETL methodologies from source to target supporting data processing and transformations to deliver data-driven business insights and decisions.
- Familiarity with data observability tools, CI/CD for ML, and lineage/trust frameworks.
- Comfortable working in agile environments and guiding architecture for Agile Release Trains (ART).
Benefits
Comp & perks- Competitive compensation
- Professional development opportunities
- Flexible work arrangements
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecturecloud-native data platformsmachine learning lifecycle managementdistributed data systemsdata warehouseLake House architectureMLflowSageMakerPythonSQL
Soft Skills
leadershipcollaborationstrategic thinkingcommunicationadaptabilityproblem-solvingguidanceinnovationcustomer focusagility
